served from IRI/LDEO Climate Data Library
root mean sq detrended-bfl detrended-bfl detrended-bfl ∫dX detrended-bfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif int_dX adif adif adif Accumulated Total Precipitation from ECMWF S2S ISAC: ISAC-CNR Ensemble.Independent Variables (Grids)
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (40) by 1.0 N= 40 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (1.253497W) to (0.2464905W) by 2.506993 N= 145 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- gribPDSpattern
- 04XXXX000B0134
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- precipitation_amount
- units
- 0.0174532925199433 kilogram meter-2 radian east
- history
- Averaged over Y[91.25S, 91.25N] L[0.0 days, 31.0 days] S[0000 9 Nov 2015, 2400 9 Aug 2023] minimum 0.0% data present
Last updated: Fri, 01 Sep 2023 11:19:10 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along M X
- Differentiate along M X
- Take differences along M X
RMS (root mean square with mean *not* removed) over M X | M X |
RMSA (root mean square with mean removed) over M X | M X |
Maximum over M X | M X |
Minimum over M X | M X |
Detrend (best-fit-line) over M X | M X |
Note on units